Page 15 - Crowdsourcing AI and Machine Learning solutions for SDGs - ITU AI/ML Challenges 2024 Report

Crowdsourcing AI and Machine Learning solutions for SDGs

3.4 AI for Climate Action

An accelerator platform for AI-powered climate
change solutions from start-ups
Climate change is a significant global challenge
with far-reaching impacts. The AI for Climate Action
Innovation Factory, launched at the AI for Good
Summit in 2024, seeks to advance the use of AI in
combating climate change. This initiative builds on
previous successes and focuses on developing AI
solutions that address climate-related issues. The
2024 edition aims to showcase these solutions
at COP29, the United Nations Climate Change
Conference in Baku, Azerbaijan. The winners
of this competition will be recognized for their
contributions to the Green Digital Action track,
highlighting the role of AI in promoting sustainable
practices and mitigating climate change.

3.5 Fusion Energy

The Fusion Challenge, part of the IAEA Coordinated
Research Project on AI for Fusion, explores the
potential of ML in predictive modeling for fusion
energy systems. Fusion energy, generated by
combining light elements to form a heavier one,
represents a promising alternative energy source.
This challenge engages the scientific community
in developing cross-machine disruption prediction
models using ML, utilizing data from fusion
devices such as Alcator C-Mod, J-TEXT, and HL-
2A. Participants gain hands-on experience in AI/
ML applications relevant to fusion energy science,
competing for prizes, recognition, and certificates.
This competition supports the global effort to make
fusion a commercially viable energy source.

The ITU AI/ML Challenge, through its diverse domains and competitions, continues to drive innova-
tion and collaboration in AI/ML. By addressing critical issues across various sectors, the challenge
contributes to the advancement of global standards and the development of solutions that have
a significant impact on society.

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